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Record W2062067608 · doi:10.1016/j.acn.2003.09.005

A longitudinal, controlled study of patient complaints following treated mild traumatic brain injury

2003· article· en· W2062067608 on OpenAlexaff
Shauna Kashluba

Bibliographic record

VenueArchives of Clinical Neuropsychology · 2003
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsGlenrose Rehabilitation Hospital
Fundersnot available
KeywordsTraumatic brain injuryBonferroni correctionMedicineInjury preventionPoison controlPhysical therapyInternal medicinePsychiatryEmergency medicine

Abstract

fetched live from OpenAlex

This study provided 3-month follow-up data to a previous paper that compared symptom complaints of patients with mild traumatic brain injury (MTBI) with those of non-injured control participants within 1 month of injury. The 110 MTBI patients and 118 control participants were group-matched on age, gender, education level, and socioeconomic status. As a group, MTBI patients no longer endorsed significantly more symptoms (M = 14.09, S.D. = 10.77) than did the control group (M = 12.56, S.D. = 8.46, P = .232). Only 3 of the 43 queried symptoms were endorsed by significantly more (Bonferroni-corrected P < .00116) MTBI patients than controls. Using the same Bonferroni-corrected criteria, 10 of the 43 symptoms were endorsed at a significantly higher severity level by MTBI patients. Overall, the treated MTBI group's symptom complaints diminished from baseline to 3 months post-injury, with relatively few differences remaining between the two groups.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.203
GPT teacher head0.478
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations133
Published2003
Admission routes1
Has abstractyes

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